03Pipeline parallelism for inference: why does it raise throughput but never lower per-token latency? Work the bubble arithmetic.▼mediumNewMetaNVIDIATogether AIunlockedA token still has to pass through every layer in order, so splitting the layers across nodes cannot make one token faster. The answer shows what pipelining buys instead, prices the bubble, and finds the all-reduce latency at which it beats cross-node tensor parallelism.Open full answer →
11A two-node deployment loads weights, reports healthy, then hangs on the first request. Debug NCCL and the engine.▼hardNewNVIDIAMetaTogether AI◆ premiumA hang gives you no error, no log line and no metric. The answer shows how to make every rank say where it is stuck, why a wrong network transport makes things slow but rarely hangs them, and the order that finds the cause in minutes.Open full answer →